search for: tklistview

Dear R users, is there a way to define the color of the title for the legend in lattice? The help page on xyplot has a lot of details on key options just as the new book, but no mentioning of a color attribute for the title. Should I use ltext or is there any other way? Best wishes, Erik [[alternative HTML version deleted]]

Hello, I'm looking for an easy way to display a data.frame (or other variables) page by page, similarly to what is possible on a file using the more command in a standard UNIX shell. Any help would be greatly appreciated. Thanks Alexandre [[alternative HTML version deleted]]

Hi, I need to represent data structures in a figure.stuff like trees with nodes and pointers etc.can someone guide me to a package that does this? -- Rajesh.J [[alternative HTML version deleted]]

> x=split(1:1000,1:1000) > str(x) Although str() can suppress long output for vectors, but it can not suppress long output for list. I'm wondering how to suppress the output for long lists.

When I run a summary(anova) I get output for all of the elements (columns) as these are multiple - single anova results. Can I store the F values? I can't find the attribute of the fitted model attributes(fit) that stores these F values, and for that matter, P values. Thanks -- Gareth Campbell PhD Candidate The University of Auckland P +649 815 3670 M +6421 256 3511 E

I'm currently working with some large complex data structures eg list of lists of data_frames containing lots more variables and lists etc. Sometimes, I'd like to be able to bring up a simple representation of the structure I'm working with, minus all of the values it contains (so simply printing the variable doesn't work as its too hard to see structure when there are 1000s of

Is there a data/variable explorer in R? Hi all, I am inspecting a complex variable which has lists inside lists... Is there a data-explorer that can help me view the structure and content of such variables? Thank you! [[alternative HTML version deleted]]

Hi, I'm very confused about R structures and the methods to go with them. I'm using R for microarray analysis with Bioconductors. Suppose without reading the documentations, what's the best way to explore a data structure when you know nothing about it? I am currently using is() / class() to see what the object is. str() / attributes() to probe inside the object, and